This course aims to teach learners about intelligent fashion recommendation, covering major research topics, criteria, data collection, results visualization, and future work. The course will focus on skills such as analyzing fashion attributes, utilizing database criteria, and understanding energy functions. The teaching method includes lectures, demos, and discussions. This course is intended for individuals interested in fashion technology, data analysis, and recommendation systems.
Overview
Syllabus
Introduction
Major research topics
Fashion recommendation
Magicclose
First criterion
Second criterion
Database
Criteria
Data
Results
Visualization
Pairing
Demo
Comments
Recommendations
Photoresist
Beauty Expo
Factors
Data Collection
Beauty Edge Views
Beauty Attributes
Fully Connected Block
Tree Structure
Sugar Crop
Energy Function
Comparison
Future Work
Taught by
UCF CRCV
